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1,000 |
Axon/resnet18-v1
|
Axon
| null | 3 | 0 | null | 1 | null | false | false | false |
apache-2.0
| null |
['ImageNet']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['dataset:ImageNet', 'arxiv:1512.03385', 'Axon', 'Elixir', 'license:apache-2.0']
| false | true | true | 3,462 |
1,001 |
Axon/resnet34-v1
|
Axon
| null | 3 | 0 | null | 0 | null | false | false | false |
apache-2.0
| null |
['ImageNet']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['dataset:ImageNet', 'arxiv:1512.03385', 'Axon', 'Elixir', 'license:apache-2.0']
| false | true | true | 3,462 |
1,002 |
Axon/resnet50-v1
|
Axon
| null | 3 | 0 | null | 0 | null | false | false | false |
apache-2.0
| null |
['ImageNet']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['dataset:ImageNet', 'arxiv:1512.03385', 'Axon', 'Elixir', 'license:apache-2.0']
| false | true | true | 3,462 |
1,003 |
Ayah/GPT2-DBpedia
|
Ayah
|
gpt2
| 8 | 16 |
transformers
| 0 |
text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'gpt2', 'text-generation', 'transformers']
| false | false | false | 0 |
1,004 |
Ayato/DialoGTP-large-Yuri
|
Ayato
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
1,005 |
Aybars/ModelOnTquad
|
Aybars
|
bert
| 10 | 13 |
transformers
| 0 |
question-answering
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'question-answering', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
1,006 |
Aybars/ModelOnWhole
|
Aybars
|
bert
| 10 | 13 |
transformers
| 0 |
question-answering
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'question-answering', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
1,007 |
Aybars/XLM_Turkish
|
Aybars
|
xlm-roberta
| 7 | 14 |
transformers
| 0 |
question-answering
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'xlm-roberta', 'question-answering', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
1,008 |
Ayham/albert_bert_summarization_cnn_dailymail
|
Ayham
|
encoder-decoder
| 8 | 14 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null |
['cnn_dailymail']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible']
| true | true | true | 993 |
1,009 |
Ayham/albert_distilgpt2_summarization_cnn_dailymail
|
Ayham
|
encoder-decoder
| 8 | 13 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null |
['cnn_dailymail']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible']
| true | true | true | 994 |
1,010 |
Ayham/albert_gpt2_Full_summarization_cnndm
|
Ayham
|
encoder-decoder
| 8 | 14 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null |
['cnn_dailymail']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible']
| true | true | true | 990 |
1,011 |
Ayham/albert_gpt2_summarization_cnndm
|
Ayham
|
encoder-decoder
| 8 | 14 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null |
['cnn_dailymail']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible']
| true | true | true | 991 |
1,012 |
Ayham/albert_gpt2_summarization_xsum
|
Ayham
|
encoder-decoder
| 8 | 15 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null |
['xsum']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:xsum', 'transformers', 'generated_from_trainer', 'autotrain_compatible']
| true | true | true | 975 |
1,013 |
Ayham/albert_roberta_summarization_cnn_dailymail
|
Ayham
|
encoder-decoder
| 8 | 14 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null |
['cnn_dailymail']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible']
| true | true | true | 1,000 |
1,014 |
Ayham/bert_bert_summarization_cnn_dailymail
|
Ayham
|
encoder-decoder
| 12 | 23 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null |
['cnn_dailymail']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible']
| true | true | true | 991 |
1,015 |
Ayham/bert_distilgpt2_summarization_cnn_dailymail
|
Ayham
|
encoder-decoder
| 8 | 14 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null |
['cnn_dailymail']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible']
| true | true | true | 992 |
1,016 |
Ayham/bert_gpt2_summarization_cnndm
|
Ayham
|
encoder-decoder
| 8 | 16 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null |
['cnn_dailymail']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible']
| true | true | true | 983 |
1,017 |
Ayham/bert_gpt2_summarization_cnndm_new
|
Ayham
|
encoder-decoder
| 8 | 29 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null |
['cnn_dailymail']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible']
| true | true | true | 987 |
1,018 |
Ayham/bert_gpt2_summarization_xsum
|
Ayham
|
encoder-decoder
| 8 | 15 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null |
['xsum']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:xsum', 'transformers', 'generated_from_trainer', 'autotrain_compatible']
| true | true | true | 973 |
1,019 |
Ayham/bert_roberta_summarization_cnn_dailymail
|
Ayham
|
encoder-decoder
| 8 | 14 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null |
['cnn_dailymail']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible']
| true | true | true | 994 |
1,020 |
Ayham/bertgpt2_cnn
|
Ayham
|
encoder-decoder
| 8 | 14 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'transformers', 'generated_from_trainer', 'autotrain_compatible']
| true | true | true | 954 |
1,021 |
Ayham/distilbert_bert_summarization_cnn_dailymail
|
Ayham
|
encoder-decoder
| 8 | 20 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null |
['cnn_dailymail']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible']
| true | true | true | 997 |
1,022 |
Ayham/distilbert_distilgpt2_summarization_cnn_dailymail
|
Ayham
|
encoder-decoder
| 8 | 14 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null |
['cnn_dailymail']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible']
| true | true | true | 998 |
1,023 |
Ayham/distilbert_gpt2_summarization_cnndm
|
Ayham
|
encoder-decoder
| 8 | 14 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null |
['cnn_dailymail']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible']
| true | true | true | 989 |
1,024 |
Ayham/distilbert_gpt2_summarization_xsum
|
Ayham
|
encoder-decoder
| 8 | 15 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null |
['xsum']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:xsum', 'transformers', 'generated_from_trainer', 'autotrain_compatible']
| true | true | true | 979 |
1,025 |
Ayham/distilbert_roberta_summarization_cnn_dailymail
|
Ayham
|
encoder-decoder
| 8 | 22 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null |
['cnn_dailymail']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible']
| true | true | true | 1,000 |
1,026 |
Ayham/ernie_gpt2_summarization_cnn_dailymail
|
Ayham
|
encoder-decoder
| 8 | 19 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null |
['cnn_dailymail']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible']
| true | true | true | 992 |
1,027 |
Ayham/roberta_bert_summarization_cnn_dailymail
|
Ayham
|
encoder-decoder
| 8 | 17 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null |
['cnn_dailymail']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible']
| true | true | true | 994 |
1,028 |
Ayham/roberta_distilgpt2_summarization_cnn_dailymail
|
Ayham
|
encoder-decoder
| 8 | 14 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null |
['cnn_dailymail']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible']
| true | true | true | 995 |
1,029 |
Ayham/roberta_gpt2_new_max64_summarization_cnndm
|
Ayham
|
encoder-decoder
| 8 | 14 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null |
['cnn_dailymail']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible']
| true | true | true | 996 |
1,030 |
Ayham/roberta_gpt2_summarization_cnn_dailymail
|
Ayham
|
encoder-decoder
| 10 | 16 |
transformers
| 1 |
text2text-generation
| true | false | false | null | null |
['cnn_dailymail']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible']
| true | true | true | 1,645 |
1,031 |
Ayham/roberta_gpt2_summarization_xsum
|
Ayham
|
encoder-decoder
| 8 | 15 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null |
['xsum']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:xsum', 'transformers', 'generated_from_trainer', 'autotrain_compatible']
| true | true | true | 976 |
1,032 |
Ayham/roberta_roberta_summarization_cnn_dailymail
|
Ayham
|
encoder-decoder
| 13 | 18 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null |
['cnn_dailymail']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible']
| true | true | true | 997 |
1,033 |
Ayham/robertagpt2_cnn
|
Ayham
|
encoder-decoder
| 8 | 14 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'transformers', 'generated_from_trainer', 'autotrain_compatible']
| true | true | true | 957 |
1,034 |
Ayham/robertagpt2_xsum
|
Ayham
|
encoder-decoder
| 8 | 14 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'transformers', 'generated_from_trainer', 'autotrain_compatible']
| true | true | true | 958 |
1,035 |
Ayham/robertagpt2_xsum2
|
Ayham
|
encoder-decoder
| 8 | 14 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'transformers', 'generated_from_trainer', 'autotrain_compatible']
| true | true | true | 959 |
1,036 |
Ayham/robertagpt2_xsum4
|
Ayham
|
encoder-decoder
| 8 | 14 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'transformers', 'generated_from_trainer', 'autotrain_compatible']
| true | true | true | 959 |
1,037 |
Ayham/xlmroberta_gpt2_summarization_xsum
|
Ayham
|
encoder-decoder
| 8 | 41 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null |
['xsum']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:xsum', 'transformers', 'generated_from_trainer', 'autotrain_compatible']
| true | true | true | 979 |
1,038 |
Ayham/xlmroberta_large_gpt2_summarization_cnndm
|
Ayham
|
encoder-decoder
| 8 | 20 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null |
['cnn_dailymail']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible']
| true | true | true | 995 |
1,039 |
Ayham/xlnet_bert_summarization_cnn_dailymail
|
Ayham
|
encoder-decoder
| 8 | 14 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null |
['cnn_dailymail']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible']
| true | true | true | 992 |
1,040 |
Ayham/xlnet_distilgpt2_summarization_cnn_dailymail
|
Ayham
|
encoder-decoder
| 8 | 14 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null |
['cnn_dailymail']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible']
| true | true | true | 993 |
1,041 |
Ayham/xlnet_gpt2_summarization_cnn_dailymail
|
Ayham
|
encoder-decoder
| 8 | 14 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null |
['cnn_dailymail']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible']
| true | true | true | 992 |
1,042 |
Ayham/xlnet_gpt2_summarization_xsum
|
Ayham
|
encoder-decoder
| 8 | 15 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null |
['xsum']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:xsum', 'transformers', 'generated_from_trainer', 'autotrain_compatible']
| true | true | true | 974 |
1,043 |
Ayham/xlnet_gpt_xsum
|
Ayham
|
encoder-decoder
| 8 | 14 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'transformers', 'generated_from_trainer', 'autotrain_compatible']
| true | true | true | 932 |
1,044 |
Ayham/xlnet_roberta_new_summarization_cnn_dailymail
|
Ayham
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
1,045 |
Ayham/xlnet_roberta_summarization_cnn_dailymail
|
Ayham
|
encoder-decoder
| 8 | 23 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null |
['cnn_dailymail']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'dataset:cnn_dailymail', 'transformers', 'generated_from_trainer', 'autotrain_compatible']
| true | true | true | 995 |
1,046 |
Ayham/xlnetgpt2_xsum7
|
Ayham
|
encoder-decoder
| 8 | 14 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'encoder-decoder', 'text2text-generation', 'transformers', 'generated_from_trainer', 'autotrain_compatible']
| true | true | true | 957 |
1,047 |
Ayjayo/DialoGPT-medium-AyjayoAI
|
Ayjayo
|
gpt2
| 51 | 18 |
transformers
| 0 |
conversational
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'gpt2', 'text-generation', 'transformers', 'conversational']
| false | true | true | 8 |
1,048 |
Aymene/opus-mt-en-ro-finetuned-en-to-ro
|
Aymene
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
1,049 |
Ayoola/cdial-yoruba-test
|
Ayoola
|
wav2vec2
| 7 | 16 |
transformers
| 2 |
automatic-speech-recognition
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'wav2vec2', 'automatic-speech-recognition', 'transformers', 'has_space']
| false | false | false | 0 |
1,050 |
Ayoola/pytorch_model
|
Ayoola
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
1,051 |
Ayoola/wav2vec2-large-xlsr-turkish-demo-colab
|
Ayoola
| null | 4 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
1,052 |
Ayou/chinese_mobile_bert
|
Ayou
|
mobilebert
| 8 | 27 |
transformers
| 1 |
fill-mask
| true | false | false |
apache-2.0
| null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'mobilebert', 'fill-mask', 'transformers', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 58 |
1,053 |
Ayran/DialoGPT-medium-harry-1
|
Ayran
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
1,054 |
Ayran/DialoGPT-medium-harry-potter-1-through-3
|
Ayran
|
gpt2
| 21 | 18 |
transformers
| 0 |
conversational
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'gpt2', 'text-generation', 'transformers', 'conversational']
| false | true | true | 42 |
1,055 |
Ayran/DialoGPT-medium-harry-potter-1-through-4-plus-6-e18
|
Ayran
|
gpt2
| 10 | 18 |
transformers
| 0 |
conversational
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'gpt2', 'text-generation', 'transformers', 'conversational']
| false | true | true | 77 |
1,056 |
Ayran/DialoGPT-medium-harry-potter-1-through-4-plus-6
|
Ayran
|
gpt2
| 31 | 18 |
transformers
| 0 |
conversational
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'gpt2', 'text-generation', 'transformers', 'conversational']
| false | true | true | 57 |
1,057 |
Ayran/DialoGPT-small-gandalf
|
Ayran
|
gpt2
| 11 | 21 |
transformers
| 0 |
conversational
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'gpt2', 'text-generation', 'transformers', 'conversational']
| false | true | true | 25 |
1,058 |
Ayran/DialoGPT-small-harry-potter-1-through-3
|
Ayran
|
gpt2
| 12 | 21 |
transformers
| 0 |
conversational
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'gpt2', 'text-generation', 'transformers', 'conversational']
| false | true | true | 57 |
1,059 |
Ayta/Haha
|
Ayta
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
1,060 |
Ayu/Shiriro
|
Ayu
| null | 2 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
1,061 |
Ayumi/Jovana
|
Ayumi
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
1,062 |
AyushPJ/ai-club-inductions-21-nlp-ALBERT
|
AyushPJ
|
albert
| 10 | 14 |
transformers
| 0 |
question-answering
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'albert', 'question-answering', 'transformers', 'generated_from_trainer', 'autotrain_compatible']
| true | true | true | 845 |
1,063 |
AyushPJ/ai-club-inductions-21-nlp-ELECTRA-base-squad
|
AyushPJ
|
electra
| 10 | 17 |
transformers
| 0 |
question-answering
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'electra', 'question-answering', 'transformers', 'generated_from_trainer', 'autotrain_compatible']
| true | true | true | 1,064 |
1,064 |
AyushPJ/ai-club-inductions-21-nlp-XLNet
|
AyushPJ
|
xlnet
| 10 | 14 |
transformers
| 0 |
question-answering
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'xlnet', 'question-answering', 'transformers', 'generated_from_trainer', 'autotrain_compatible']
| true | true | true | 844 |
1,065 |
AyushPJ/ai-club-inductions-21-nlp-distilBERT
|
AyushPJ
|
distilbert
| 10 | 14 |
transformers
| 0 |
question-answering
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'distilbert', 'question-answering', 'transformers', 'generated_from_trainer', 'autotrain_compatible']
| true | true | true | 851 |
1,066 |
AyushPJ/ai-club-inductions-21-nlp-roBERTa-base-squad-v2
|
AyushPJ
|
roberta
| 11 | 14 |
transformers
| 0 |
question-answering
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'question-answering', 'transformers', 'generated_from_trainer', 'autotrain_compatible']
| true | true | true | 859 |
1,067 |
AyushPJ/ai-club-inductions-21-nlp-roBERTa
|
AyushPJ
|
roberta
| 11 | 14 |
transformers
| 0 |
question-answering
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'question-answering', 'transformers', 'generated_from_trainer', 'autotrain_compatible']
| true | true | true | 846 |
1,068 |
AyushPJ/test-squad-trained-finetuned-squad
|
AyushPJ
|
distilbert
| 12 | 14 |
transformers
| 0 |
question-answering
| true | false | false | null | null |
['squad']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'distilbert', 'question-answering', 'dataset:squad', 'transformers', 'generated_from_trainer', 'autotrain_compatible']
| true | true | true | 847 |
1,069 |
Azaghast/DistilBART-SCP-ParaSummarization
|
Azaghast
|
bart
| 3 | 15 |
transformers
| 0 |
text2text-generation
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bart', 'text2text-generation', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
1,070 |
Azaghast/DistilBERT-SCP-Class-Classification
|
Azaghast
|
distilbert
| 7 | 40 |
transformers
| 1 |
text-classification
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'distilbert', 'text-classification', 'transformers']
| false | false | false | 0 |
1,071 |
Azaghast/GPT2-SCP-ContainmentProcedures
|
Azaghast
|
gpt2
| 8 | 24 |
transformers
| 0 |
text-generation
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'gpt2', 'text-generation', 'transformers']
| false | false | false | 0 |
1,072 |
Azaghast/GPT2-SCP-Descriptions
|
Azaghast
|
gpt2
| 8 | 18 |
transformers
| 0 |
text-generation
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'gpt2', 'text-generation', 'transformers']
| false | false | false | 0 |
1,073 |
Azaghast/GPT2-SCP-Miscellaneous
|
Azaghast
|
gpt2
| 8 | 17 |
transformers
| 0 |
text-generation
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'gpt2', 'text-generation', 'transformers']
| false | false | false | 0 |
1,074 |
Azizun/Geotrend-10-epochs
|
Azizun
|
bert
| 11 | 13 |
transformers
| 0 |
token-classification
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'bert', 'token-classification', 'transformers', 'autotrain_compatible']
| false | false | false | 0 |
1,075 |
Azura/data
|
Azura
| null | 2 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
1,076 |
Azuris/DialoGPT-medium-envy
|
Azuris
|
gpt2
| 11 | 24 |
transformers
| 0 |
conversational
| true | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'gpt2', 'text-generation', 'transformers', 'conversational']
| false | true | true | 32 |
1,077 |
Azuris/DialoGPT-medium-senorita
|
Azuris
|
gpt2
| 11 | 22 |
transformers
| 0 |
conversational
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'gpt2', 'text-generation', 'transformers', 'conversational']
| false | true | false | 0 |
1,078 |
Azuris/DialoGPT-small-envy
|
Azuris
|
gpt2
| 11 | 18 |
transformers
| 0 |
conversational
| true | false | false | null | null | null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'gpt2', 'text-generation', 'transformers', 'conversational']
| false | true | true | 26 |
1,079 |
BAHIJA/distilbert-base-uncased-finetuned-cola
|
BAHIJA
|
distilbert
| 38 | 23 |
transformers
| 0 |
text-classification
| true | false | false |
apache-2.0
| null |
['glue']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'distilbert', 'text-classification', 'dataset:glue', 'transformers', 'generated_from_trainer', 'license:apache-2.0', 'model-index']
| true | true | true | 1,572 |
1,080 |
BE/demo-sentiment2021
|
BE
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
1,081 |
BJTK2/model_name
|
BJTK2
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
1,082 |
BME-TMIT/foszt2oszt
|
BME-TMIT
|
encoder-decoder
| 7 | 19 |
transformers
| 1 |
text2text-generation
| true | false | false | null |
['hu']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'encoder-decoder', 'text2text-generation', 'hu', 'transformers', 'autotrain_compatible']
| false | true | true | 1,354 |
1,083 |
BOON/electra-xlnet
|
BOON
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
1,084 |
BOON/electra_qa
|
BOON
| null | 1 | 0 | null | 0 | null | false | false | false | null | null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
[]
| false | false | false | 0 |
1,085 |
BSC-LT/RoBERTalex
|
BSC-LT
|
roberta
| 9 | 23 |
transformers
| 4 |
fill-mask
| true | false | false |
apache-2.0
|
['es']
|
['legal_ES', 'temu_legal']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'fill-mask', 'es', 'dataset:legal_ES', 'dataset:temu_legal', 'arxiv:2110.12201', 'transformers', 'legal', 'spanish', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 1,241 |
1,086 |
BSC-LT/gpt2-large-bne
|
BSC-LT
|
gpt2
| 5 | 36 |
transformers
| 0 |
text-generation
| true | false | false |
apache-2.0
|
['es']
|
['bne']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'gpt2', 'text-generation', 'es', 'dataset:bne', 'arxiv:2107.07253', 'transformers', 'national library of spain', 'spanish', 'bne', 'license:apache-2.0']
| false | true | true | 2,676 |
1,087 |
BSC-LT/roberta-base-biomedical-clinical-es
|
BSC-LT
|
roberta
| 11 | 46 |
transformers
| 5 |
fill-mask
| true | false | false |
apache-2.0
|
['es']
| null | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'fill-mask', 'es', 'arxiv:2109.03570', 'arxiv:2109.07765', 'transformers', 'biomedical', 'clinical', 'spanish', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 11,595 |
1,088 |
BSC-LT/roberta-base-biomedical-es
|
BSC-LT
|
roberta
| 11 | 38 |
transformers
| 3 |
fill-mask
| true | false | false |
apache-2.0
|
['es']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'fill-mask', 'es', 'arxiv:2109.03570', 'arxiv:2109.07765', 'transformers', 'biomedical', 'spanish', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 10,778 |
1,089 |
BSC-LT/roberta-base-bne-capitel-ner-plus
|
BSC-LT
|
roberta
| 9 | 15 |
transformers
| 1 |
token-classification
| true | false | false |
apache-2.0
|
['es']
|
['bne', 'capitel']
| null | 2 | 2 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'token-classification', 'es', 'dataset:bne', 'dataset:capitel', 'arxiv:1907.11692', 'arxiv:2107.07253', 'transformers', 'national library of spain', 'spanish', 'bne', 'capitel', 'ner', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 3,135 |
1,090 |
BSC-LT/roberta-base-bne-capitel-ner
|
BSC-LT
|
roberta
| 9 | 17 |
transformers
| 1 |
token-classification
| true | false | false |
apache-2.0
|
['es']
|
['bne', 'capitel']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'token-classification', 'es', 'dataset:bne', 'dataset:capitel', 'arxiv:1907.11692', 'arxiv:2107.07253', 'transformers', 'national library of spain', 'spanish', 'bne', 'capitel', 'ner', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 1,652 |
1,091 |
BSC-LT/roberta-base-bne-capitel-pos
|
BSC-LT
|
roberta
| 9 | 17 |
transformers
| 3 |
token-classification
| true | false | false |
apache-2.0
|
['es']
|
['bne', 'capitel']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'token-classification', 'es', 'dataset:bne', 'dataset:capitel', 'arxiv:1907.11692', 'arxiv:2107.07253', 'transformers', 'national library of spain', 'spanish', 'bne', 'capitel', 'pos', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 1,662 |
1,092 |
BSC-LT/roberta-base-bne-sqac
|
BSC-LT
|
roberta
| 9 | 20 |
transformers
| 3 |
question-answering
| true | false | false |
apache-2.0
|
['es']
|
['BSC-TeMU/SQAC']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'question-answering', 'es', 'dataset:BSC-TeMU/SQAC', 'arxiv:1907.11692', 'arxiv:2107.07253', 'transformers', 'national library of spain', 'spanish', 'bne', 'qa', 'question answering', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 1,622 |
1,093 |
BSC-LT/roberta-base-bne
|
BSC-LT
|
roberta
| 10 | 260 |
transformers
| 7 |
fill-mask
| true | false | false |
apache-2.0
|
['es']
|
['bne']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'fill-mask', 'es', 'dataset:bne', 'arxiv:1907.11692', 'arxiv:2107.07253', 'transformers', 'national library of spain', 'spanish', 'bne', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 2,808 |
1,094 |
BSC-LT/roberta-base-ca
|
BSC-LT
|
roberta
| 9 | 12 |
transformers
| 2 |
fill-mask
| true | false | false |
apache-2.0
|
['ca']
| null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'fill-mask', 'ca', 'transformers', 'masked-lm', 'BERTa', 'catalan', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 11,501 |
1,095 |
BSC-LT/roberta-large-bne-capitel-ner
|
BSC-LT
|
roberta
| 9 | 15 |
transformers
| 0 |
token-classification
| true | false | false |
apache-2.0
|
['es']
|
['bne', 'capitel']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'token-classification', 'es', 'dataset:bne', 'dataset:capitel', 'arxiv:1907.11692', 'arxiv:2107.07253', 'transformers', 'national library of spain', 'spanish', 'bne', 'capitel', 'ner', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 1,656 |
1,096 |
BSC-LT/roberta-large-bne-capitel-pos
|
BSC-LT
|
roberta
| 9 | 15 |
transformers
| 3 |
token-classification
| true | false | false |
apache-2.0
|
['es']
|
['bne', 'capitel']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'token-classification', 'es', 'dataset:bne', 'dataset:capitel', 'arxiv:1907.11692', 'arxiv:2107.07253', 'transformers', 'national library of spain', 'spanish', 'bne', 'capitel', 'pos', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 1,667 |
1,097 |
BSC-LT/roberta-large-bne-sqac
|
BSC-LT
|
roberta
| 9 | 22 |
transformers
| 3 |
question-answering
| true | false | false |
apache-2.0
|
['es']
|
['BSC-TeMU/SQAC']
| null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'question-answering', 'es', 'dataset:BSC-TeMU/SQAC', 'arxiv:1907.11692', 'arxiv:2107.07253', 'transformers', 'national library of spain', 'spanish', 'bne', 'qa', 'question answering', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 1,627 |
1,098 |
BSC-LT/roberta-large-bne
|
BSC-LT
|
roberta
| 10 | 17 |
transformers
| 7 |
fill-mask
| true | false | false |
apache-2.0
|
['es']
|
['bne']
| null | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'roberta', 'fill-mask', 'es', 'dataset:bne', 'arxiv:1907.11692', 'arxiv:2107.07253', 'transformers', 'national library of spain', 'spanish', 'bne', 'license:apache-2.0', 'autotrain_compatible']
| false | true | true | 2,814 |
1,099 |
BSen/wav2vec2-base-timit-demo-colab
|
BSen
|
wav2vec2
| 14 | 12 |
transformers
| 0 |
automatic-speech-recognition
| true | false | false |
apache-2.0
| null | null | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
['pytorch', 'tensorboard', 'wav2vec2', 'automatic-speech-recognition', 'transformers', 'generated_from_trainer', 'license:apache-2.0']
| true | true | true | 1,341 |
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